Evidence map›Paper›PMID 33389557›Full record

ArticleLa Radiologia medica2021

Inter-reader agreement of high-resolution computed tomography findings in patients with COVID-19 pneumonia: A multi-reader study.

Lorenzo Cereser, Rossano Girometti, Jacopo Da Re, Filippo Marchesini, Giuseppe Como, Chiara Zuiani

Abstract read
In one paragraph

Article in La Radiologia medica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

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  8. Exploring Radiologists' Burnout in the COVID-19 Era: A Narrative Review.International journal of environmental research and public health · 2023
    Review
  9. Review
  10. Article
  11. Review
  12. Immunotherapy Assessment: A New Paradigm for Radiologists.Diagnostics (Basel, Switzerland) · 2023
    Review
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  14. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Lorenzo CereserInstitute of Radiology, Department of Medicine, University of Udine, University Hospital "S. Maria della Misericordia", p.le S. Maria della Misericordia, 15, 33100, Udine, Italy. lcereser@sirm.org.ORCID https://orcid.org/0000-0003-4480-8872
Rossano GiromettiInstitute of Radiology, Department of Medicine, University of Udine, University Hospital "S. Maria della Misericordia", p.le S. Maria della Misericordia, 15, 33100, Udine, Italy.
Jacopo Da ReInstitute of Radiology, Department of Medicine, University of Udine, University Hospital "S. Maria della Misericordia", p.le S. Maria della Misericordia, 15, 33100, Udine, Italy.
Filippo MarchesiniInstitute of Radiology, Department of Medicine, University of Udine, University Hospital "S. Maria della Misericordia", p.le S. Maria della Misericordia, 15, 33100, Udine, Italy.
Giuseppe ComoInstitute of Radiology, Department of Medicine, University of Udine, University Hospital "S. Maria della Misericordia", p.le S. Maria della Misericordia, 15, 33100, Udine, Italy.
Chiara ZuianiInstitute of Radiology, Department of Medicine, University of Udine, University Hospital "S. Maria della Misericordia", p.le S. Maria della Misericordia, 15, 33100, Udine, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the inter-reader agreement in assessing high-resolution computed tomography (HRCT) features of coronavirus disease 2019 (COVID-19) pneumonia.

methodSeventy-seven consecutive patients (mean age, 64 ± 15 years) with mild COVID-19 pneumonia that underwent HRCT were retrospectively included. Three radiologists [two devoted to thoracic imaging (R1, R2), and one generalist (R3)] on a per-examination basis independently assessed ground-glass opacity (GGO), consolidation, and crazy-paving pattern. The extent of each feature (total feature score, TFS) was semi-quantitatively assessed, and each TFS summed up to obtain total lung score (TLS). Presence of organizing pneumonia (OP) pattern was also recorded. The inter-reader agreement was calculated with Cohen's Kappa (k) and Free-Marginal Multirater k. Multivariable analysis was run to determine whether imaging features were predictive of short-term evolution to severe disease (need for ventilation).

resultsMost features showed substantial inter-reader agreement, including TLS > 6 (k = 0.69), which was an independent predictor of short-term occurrence of severe disease, regardless of the reader (OR 9-53.19). Consolidation TFS > 2 and OP pattern showed substantial and moderate agreement, respectively, only when comparing R1 and R2. Consolidation TFS > 2 and OP pattern were independent predictors of severe disease for R2 (OR 4.87) and R1 (OR 6), respectively.

conclusionsThe inter-reader agreement for most HRCT features of COVID-19 pneumonia ranges moderate-to-substantial, though it depends on readers' experience in the case of consolidation and OP pattern.

Indexed as

Tomography, X-Ray ComputedAdultAgedCOVID-19FemaleHumansLungMaleMiddle AgedObserver VariationRetrospective StudiesSARS-CoV-2CoronavirusHigh-resolution computed tomographyInter-reader agreementPneumonia

Identifiers

PMID33389557
PMCPMC7778575

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.